Rachel Kim is a data science consultant at Stanford University School of Medicine and the Data Science Society at Berkeley, where efforts focus on leveraging data science for societal improvement. Rachel has previous experience as a teaching assistant at CP Admission, guiding high school students in their SAT and ACT preparation. Additionally, Rachel interned as a business analyst at SELVAS AI, collaborating with Mediana, a subsidiary specializing in medical devices in South Korea, and gained experience as an intern at Channel Healthcare, a biotech firm utilizing AI technology for microbiome research. Rachel holds an education from the University of California, Berkeley, and completed studies at Irvine High School.
Sign up to view 0 direct reports
Get started